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24e9bb7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # Dataset Scripts
## divide.py
`divide.py` is a script designed to split a JSONL file into two separate files based on the approximate token count of a specified text field. It detects the appropriate text field from the input JSONL and uses the median token count as a threshold to categorize the entries into "short" and "long".
### Usage
To use `divide.py`, run the following command in your terminal:
```bash
python divide.py --input <input_jsonl_path> --short_out <output_short_jsonl_path> --long_out <output_long_jsonl_path>
```
- `--input`: Path to the input JSONL file (required).
- `--short_out`: Path to the output JSONL file for short entries (default: `short.jsonl`).
- `--long_out`: Path to the output JSONL file for long entries (default: `long.jsonl`).
## ratio.py
`ratio.py` is a script that creates datasets with specified positive and negative sample ratios from two JSONL files containing positive and negative samples. It randomly samples from the provided datasets to create a new dataset based on the defined configuration.
### Usage
To use `ratio.py`, simply run the script:
```bash
python ratio.py
```
This script will read from `positive/positive.jsonl` and `negative/negative.jsonl`, and create datasets based on the configurations defined in the script. The output files will be named `dataset_{name}.jsonl` for each configuration.
### Dataset Configurations
The following configurations are available in the script:
- `1_1`: 2000 total samples with a 1:1 positive to negative ratio.
- `1_5`: 1200 total samples with a 1:5 positive to negative ratio.
- `5_1`: 1200 total samples with a 5:1 positive to negative ratio.
## extract_members.py
`extract_members.py` is a script that extracts members and non-members from a JSONL file based on the `label` field. It reads from `python_sample.jsonl`, where a `label` of `1` indicates a member and a `label` of `0` indicates a non-member. The script outputs two separate JSONL files: one for members and one for non-members.
### Usage
To use `extract_members.py`, run the following command in your terminal:
```bash
python extract_members.py
```
This script will read from `dataset/python_sample.jsonl` and create the following output files:
- `dataset/member.jsonl`: Contains all entries with `label` equal to `1`.
- `dataset/non-member.jsonl`: Contains all entries with `label` equal to `0`.
### Output
After running the script, you will see a message indicating the number of extracted members and non-members. |